Online monitoring method, device and intelligent monitoring equipment for open-pit mine operation

Abstract

The present invention discloses an online monitoring method, device and intelligent monitoring equipment for open-pit mine operations. When it is judged that the currently collected ore does not meet the ore collection requirements based on the ore collection data monitored in the current monitoring area, the working parameters of the intelligent monitoring equipment are automatically adjusted according to the rock crack direction, rock hardness and ore exposure conditions in the current monitoring area, which can improve the accuracy of determining the working parameters of the intelligent monitoring equipment and perform ore collection, that is, the ore collection data and the mine are intelligently monitored by the intelligent monitoring equipment in the current monitoring area, which can improve the collection efficiency and accuracy of the open-pit mine and reduce the probability of ore collection risks.

Description

Technical Field

[0001] The present invention relates to the field of open-pit mine monitoring technology, and in particular to an online monitoring method, device and intelligent monitoring equipment for open-pit mine operations. Background Art

[0002] An open-pit mine is one in which the loose soil and surrounding rock covering the top of the ore body and its surroundings are stripped away, the waste rock is transported to the spoil dump, and the ore is mined directly from the exposed ore body.

[0003] At present, the mining of ore is often achieved by collecting images of open-pit mines and analyzing them to monitor the working conditions of the working site, such as the working conditions of the collection equipment. However, it has been found in practice that due to the complexity of the mines at the open-pit mine operation site, simple monitoring through images cannot achieve efficient ore collection. Therefore, it is particularly important to propose a technical solution for intelligent monitoring of open-pit mine operations and improving the collection efficiency of open-pit mines. Summary of the invention

[0004] The present invention provides an online monitoring method, device and intelligent monitoring equipment for open-pit mine operations, which can perform intelligent monitoring on open-pit mine operations and improve the collection efficiency of the open-pit mine.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an online monitoring method for open-pit mine operations, the method comprising:

[0006] When the intelligent monitoring device is performing open-pit mining operations, determining monitoring data of the intelligent monitoring device in a current monitoring area within a preset time period, wherein the monitoring data of the current monitoring area includes ore collection data of the current monitoring area;

[0007] According to the ore collection data of the current monitoring area, it is judged whether the ore collection situation of the current monitoring area meets the predetermined ore collection requirements of the current monitoring area, and when it is judged that it does not meet the requirements, the crack data, rock hardness and ore exposure of the rock cracks in the mine in the current monitoring area are obtained, and the crack data of the rock cracks in the mine include the crack direction of the rock cracks in the mine;

[0008] According to the crack data of the rock cracks in the mine, the rock hardness, the ore exposure, and the ore collection data of the current monitoring area, the current working parameters of the intelligent monitoring device are adjusted to obtain the adjusted working parameters of the intelligent monitoring device, wherein the current working parameters of the intelligent monitoring device include the working parameters of the bucket of the intelligent monitoring device;

[0009] According to the adjusted working parameters of the intelligent monitoring device, the intelligent monitoring device is controlled to continue collecting ore in the current monitoring area.

[0010] As an optional implementation, in the first aspect of the present invention, the crack data of rock cracks in the mine further includes the crack length and crack width of the rock cracks in the mine;

[0011] The method further comprises:

[0012] Determine the crack curvature of the rock cracks in the mine according to the crack direction and the crack length of the rock cracks in the mine, and analyze the crack curvature, crack width, rock hardness and ore exposure of the rock cracks in the mine to obtain multiple bucket operation points of the intelligent monitoring equipment for the mine;

[0013] Collect rock data of all the bucket operation points, wherein the rock data of each bucket operation point includes the rock hardness and ore distribution of the bucket operation point;

[0014] According to the rock hardness, ore distribution and crack direction and crack width between every two adjacent bucket operation points of all the bucket operation points, all the bucket operation points of the mine are corrected to obtain multiple target bucket operation points of the mine, and rock data of each target bucket operation point is collected;

[0015] Wherein, adjusting the current working parameters of the intelligent monitoring device according to the crack data of the rock cracks in the mine, the rock hardness, the ore exposure, and the ore collection data of the current monitoring area to obtain the adjusted working parameters of the intelligent monitoring device includes:

[0016] According to the rock data of each target bucket operation point and the ore collection data of the current monitoring area, the current working parameters of the intelligent monitoring equipment are adjusted to obtain the adjusted working parameters of the intelligent monitoring equipment.

[0017] As an optional embodiment, in the first aspect of the present invention, the fracture curvature of the rock fractures in the mine includes the curvature of all fracture elbows of the rock fractures in the mine, and the ore exposure of the rock fractures in the mine includes the ore exposure distribution;

[0018] Furthermore, the analysis of the crack curvature, crack width, rock hardness and ore exposure of the rock cracks in the mine to obtain multiple bucket operation points of the intelligent monitoring equipment for the mine includes:

[0019] According to the number of all the crack elbows, the exposure of ore in the rock cracks in the mine, the position of each crack elbow and the curvature of each crack elbow, a plurality of target crack elbows with a crack curvature less than or equal to a preset crack curvature are selected from all the elbows;

[0020] According to the curvature of all the target crack elbows, the crack width between two adjacent target crack elbows, the rock hardness and the ore exposure, the intelligent monitoring equipment determines multiple bucket operation points for the mine.

[0021] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0022] According to the position of each of the crack elbows, all the crack elbows are divided to obtain a plurality of elbow division areas, and according to the positions of all the crack elbows in each elbow division area, the crack elbow density of the elbow division area is analyzed;

[0023] Wherein, according to the number of all the crack elbows, the exposure of the ore in the rock cracks in the mine, the position of each of the crack elbows and the curvature of each of the crack elbows, a plurality of target crack elbows with a crack curvature less than or equal to a preset crack curvature are screened from all the elbows, including:

[0024] According to the number of all the crack elbows, the ore exposure of the rock cracks in the mine, the position of each of the crack elbows, the curvature of each of the crack elbows and the density of crack elbows in the areas divided by all the elbows, a plurality of target crack elbows with crack curvatures less than or equal to a preset crack curvature are screened from all the elbows.

[0025] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0026] According to the current working parameters of the intelligent monitoring equipment and the crack data of rock cracks in the mine in the current monitoring area, rock hardness and ore exposure, it is estimated that the probability of the mine volume in the current monitoring area being greater than or equal to the preset volume and / or the probability of rock with a hardness greater than or equal to the preset hardness rolling down in the next open-pit mining operation;

[0027] When the probability is greater than or equal to the preset rolling probability threshold, the location of rock rolling in the mine in the current monitoring area, the volume of the rolled rock, and the shape of the rolled rock are estimated based on the current working parameters of the intelligent monitoring equipment and the crack data of rock cracks in the mine in the current monitoring area, rock hardness, and ore exposure;

[0028] Acquire current slope data of the current monitoring area, and estimate the rolling trajectory of the rock in the mine according to the slope data of the current monitoring area and the location where the rock falls in the mine, the volume of the rolled rock, and the shape of the rolled rock;

[0029] According to the estimated rolling trajectory of the mine rock and the position of the target object, determine whether the target object has been hit; when the result of the determination is yes, adjust the working parameters of the intelligent monitoring equipment according to the rolling trajectory of the mine rock and the position of the target object.

[0030] As an optional implementation, in the first aspect of the present invention, the current slope data of the current monitoring area includes the slope length, slope ground data, slope curvature and slope gradient of the current monitoring area;

[0031] The method of estimating the rolling trajectory of the rock in the mine according to the slope data of the current monitoring area and the location where the rock falls in the mine, the volume of the rolled rock, and the shape of the rolled rock includes:

[0032] Dividing the slope of the current monitoring area into a plurality of sub-slopes according to all contents contained in the slope data of the current monitoring area;

[0033] Obtaining the terrain data and height of the area between the location where the rock fell in the mine and the plane where the first sub-slope is located, and analyzing the rolling data of the mine rock from the location where the rock fell in the mine to the plane where the first sub-slope is located according to the terrain data, height, location where the rock fell in the mine, volume of the fallen rock and shape of the fallen rock corresponding to the first sub-slope, the rolling data corresponding to the first sub-slope including the rolling trajectory, the magnitude of the force when rolling to the plane of the first sub-slope and the direction of the force;

[0034] Starting from the first sub-slope, according to the slope data, force magnitude and force direction of the previous sub-slope, analyzing the rolling data of the mine rock when it rolls from the previous sub-slope to the next sub-slope, until the rolling data corresponding to the last sub-slope is obtained;

[0035] According to the slope data of the last sub-slope, the force direction, the force magnitude, the terrain data of the area between the last sub-slope and the position of the target object, the volume of the fallen rock and the shape of the fallen rock, the rolling data of the mine rock from the plane where the last sub-slope is located to the plane where the target object is located is analyzed, and starting from the rolling trajectory corresponding to the first sub-slope, the rolling trajectories corresponding to all the sub-slopes are connected in sequence, and the rolling trajectories corresponding to all the connected sub-slopes are connected with the rolling trajectory corresponding to the target object as the rolling trajectory of the mine rock.

[0036] As an optional implementation, in the first aspect of the present invention, the ore collection data of the current monitoring area includes one or more of the ore collection speed, ore collection shape, and ore collection size of the current monitoring area within the preset time period, the ore collection speed of the current monitoring area is used to indicate the amount of ore collected in the current monitoring area per unit time, and the ore collection size of the current monitoring area is used to indicate the volume of ore collected in the current monitoring area;

[0037] The determining, based on the ore collection data of the current monitoring area, whether the ore collection situation of the current monitoring area meets the predetermined ore collection requirements of the current monitoring area includes:

[0038] Determine the ore collection quality of the current monitoring area according to the ore collection size and ore collection shape of the current monitoring area, and judge whether the ore collection quality of the current monitoring area is greater than or equal to the preset ore collection quality;

[0039] When the judgment result is no, it is determined that the ore collection situation in the current monitoring area does not meet the ore collection conditions pre-determined for the current monitoring area; when the judgment result is yes, it is determined whether the ore collection speed of the current monitoring area falls within the pre-collection speed range; when the judgment result is no, it is determined that the ore collection situation in the current monitoring area does not meet the pre-determined ore collection conditions for the current monitoring area.

[0040] The second aspect of the present invention discloses an online monitoring device for open-pit mine operations, the device comprising:

[0041] A determination module, used to determine the monitoring data of the intelligent monitoring device in the current monitoring area within a preset time period when the intelligent monitoring device is performing open-pit mining operations, wherein the monitoring data of the current monitoring area includes the ore collection data of the current monitoring area;

[0042] A judgment module, used to judge whether the ore collection situation of the current monitoring area meets the predetermined ore collection requirements of the current monitoring area according to the ore collection data of the current monitoring area;

[0043] An acquisition module, for acquiring crack data, rock hardness and ore exposure of rock cracks in the mine in the current monitoring area when it is determined that the conditions are not met, wherein the crack data of rock cracks in the mine includes the crack direction of rock cracks in the mine;

[0044] An adjustment module, used to adjust the current working parameters of the intelligent monitoring device according to the crack data of the rock cracks in the mine, the rock hardness, the ore exposure, and the ore collection data of the current monitoring area, so as to obtain the adjusted working parameters of the intelligent monitoring device, wherein the current working parameters of the intelligent monitoring device include the working parameters of the bucket of the intelligent monitoring device;

[0045] The control module is used to control the intelligent monitoring device to continue collecting ore in the current monitoring area according to the adjusted working parameters of the intelligent monitoring device.

[0046] As an optional implementation, in the second aspect of the present invention, the crack data of the rock cracks in the mine further includes the crack length and crack width of the rock cracks in the mine;

[0047] The device also includes:

[0048] The determination module is further used to determine the crack curvature of the rock cracks in the mine according to the crack direction of the rock cracks in the mine and the crack length of the rock cracks in the mine;

[0049] An analysis module, used to analyze the crack curvature, crack width, rock hardness and ore exposure of rock cracks in the mine, and obtain multiple bucket operation points of the intelligent monitoring device for the mine;

[0050] A collection module, used to collect rock data of all the bucket operation points, wherein the rock data of each bucket operation point includes the rock hardness and ore distribution of the bucket operation point;

[0051] A correction module, used to correct all the bucket operation points of the mine according to the rock hardness, ore distribution and crack direction and crack width between every two adjacent bucket operation points of all the bucket operation points, so as to obtain multiple target bucket operation points of the mine;

[0052] The acquisition module is also used to collect rock data of each target bucket operation point;

[0053] The adjustment module adjusts the current working parameters of the intelligent monitoring device according to the crack data of the rock cracks in the mine, the rock hardness, the ore exposure, and the ore collection data of the current monitoring area, and the method of obtaining the adjusted working parameters of the intelligent monitoring device is specifically as follows:

[0054] According to the rock data of each target bucket operation point and the ore collection data of the current monitoring area, the current working parameters of the intelligent monitoring equipment are adjusted to obtain the adjusted working parameters of the intelligent monitoring equipment.

[0055] As an optional embodiment, in the second aspect of the present invention, the fracture curvature of the rock fractures in the mine includes the curvature of all fracture elbows of the rock fractures in the mine, and the ore exposure of the rock fractures in the mine includes the ore exposure distribution;

[0056] Furthermore, the analysis module analyzes the crack curvature, crack width, rock hardness and ore exposure of the rock cracks in the mine to obtain the manner in which the intelligent monitoring device targets multiple bucket operation points of the mine, specifically including:

[0057] According to the number of all the crack elbows, the exposure of ore in the rock cracks in the mine, the position of each crack elbow and the curvature of each crack elbow, a plurality of target crack elbows with a crack curvature less than or equal to a preset crack curvature are selected from all the elbows;

[0058] According to the curvature of all the target crack elbows, the crack width between two adjacent target crack elbows, the rock hardness and the ore exposure, the intelligent monitoring equipment determines multiple bucket operation points for the mine.

[0059] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0060] A division module, used for dividing all the crack elbows according to the position of each crack elbow to obtain a plurality of elbow division areas;

[0061] The analysis module is further used to analyze the crack elbow density of each elbow division area according to the positions of all the crack elbows in the elbow division area;

[0062] The method in which the analysis module selects a plurality of target crack elbows having a crack curvature less than or equal to a preset crack curvature from all the elbows according to the number of all the crack elbows, the exposure of the ore in the rock cracks in the mine, the position of each of the crack elbows and the curvature of each of the crack elbows specifically includes:

[0063] According to the number of all the crack elbows, the ore exposure of the rock cracks in the mine, the position of each of the crack elbows, the curvature of each of the crack elbows and the density of crack elbows in the areas divided by all the elbows, a plurality of target crack elbows with crack curvatures less than or equal to a preset crack curvature are screened from all the elbows.

[0064] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0065] An estimation module is used to estimate the probability of a mine volume greater than or equal to a preset volume and / or a rock with a hardness greater than or equal to a preset hardness rolling down in the next open-pit mining operation in the current monitoring area according to the current working parameters of the intelligent monitoring equipment and the crack data of rock cracks in the mine in the current monitoring area, rock hardness and ore exposure;

[0066] The estimation module is further used to estimate the location of rock rolling in the mine in the current monitoring area, the volume of the rolled rock, and the shape of the rolled rock according to the current working parameters of the intelligent monitoring device and the crack data of rock cracks in the mine in the current monitoring area, the rock hardness, and the ore exposure when the probability is greater than or equal to a preset rolling probability threshold;

[0067] The acquisition module is further used to acquire the current slope data of the current monitoring area, and estimate the rolling trajectory of the rock in the mine according to the slope data of the current monitoring area and the location where the rock falls in the mine, the volume of the rolled rock, and the shape of the rolled rock;

[0068] The judgment module is further used to judge whether the target object is hit according to the estimated rolling trajectory of the mine rock and the position of the target object;

[0069] The adjustment module is also used to adjust the working parameters of the intelligent monitoring equipment according to the rolling trajectory of the mine rock and the position of the target object when the judgment result is yes.

[0070] As an optional implementation, in the second aspect of the present invention, the current slope data of the current monitoring area includes the slope length, slope ground data, slope curvature and slope gradient of the current monitoring area;

[0071] The method in which the estimation module estimates the rolling trajectory of the mine rock according to the slope data of the current monitoring area and the location where the rock falls in the mine, the volume of the rolled rock, and the shape of the rolled rock specifically includes:

[0072] Dividing the slope of the current monitoring area into a plurality of sub-slopes according to all contents contained in the slope data of the current monitoring area;

[0073] Obtaining the terrain data and height of the area between the location where the rock fell in the mine and the plane where the first sub-slope is located, and analyzing the rolling data of the mine rock from the location where the rock fell in the mine to the plane where the first sub-slope is located according to the terrain data, height, location where the rock fell in the mine, volume of the fallen rock and shape of the fallen rock corresponding to the first sub-slope, the rolling data corresponding to the first sub-slope including the rolling trajectory, the magnitude of the force when rolling to the plane of the first sub-slope and the direction of the force;

[0074] Starting from the first sub-slope, according to the slope data, force magnitude and force direction of the previous sub-slope, analyzing the rolling data of the mine rock when it rolls from the previous sub-slope to the next sub-slope, until the rolling data corresponding to the last sub-slope is obtained;

[0075] According to the slope data of the last sub-slope, the force direction, the force magnitude, the terrain data of the area between the last sub-slope and the position of the target object, the volume of the fallen rock and the shape of the fallen rock, the rolling data of the mine rock from the plane where the last sub-slope is located to the plane where the target object is located is analyzed, and starting from the rolling trajectory corresponding to the first sub-slope, the rolling trajectories corresponding to all the sub-slopes are connected in sequence, and the rolling trajectories corresponding to all the connected sub-slopes are connected with the rolling trajectory corresponding to the target object as the rolling trajectory of the mine rock.

[0076] As an optional implementation, in the second aspect of the present invention, the ore collection data of the current monitoring area includes one or more of the ore collection speed, ore collection shape, and ore collection size of the current monitoring area within the preset time period, the ore collection speed of the current monitoring area is used to indicate the amount of ore collected in the current monitoring area per unit time, and the ore collection size of the current monitoring area is used to indicate the volume of ore collected in the current monitoring area;

[0077] The method in which the judgment module judges whether the ore collection situation of the current monitoring area meets the predetermined ore collection requirements of the current monitoring area according to the ore collection data of the current monitoring area specifically includes:

[0078] Determine the ore collection quality of the current monitoring area according to the ore collection size and ore collection shape of the current monitoring area, and judge whether the ore collection quality of the current monitoring area is greater than or equal to the preset ore collection quality;

[0079] When the judgment result is no, it is determined that the ore collection situation in the current monitoring area does not meet the ore collection conditions pre-determined for the current monitoring area; when the judgment result is yes, it is determined whether the ore collection speed of the current monitoring area falls within the pre-collection speed range; when the judgment result is no, it is determined that the ore collection situation in the current monitoring area does not meet the pre-determined ore collection conditions for the current monitoring area.

[0080] The third aspect of the present invention discloses another online monitoring device for open-pit mine operation, the device comprising:

[0081] A memory storing executable program code;

[0082] a processor coupled to the memory;

[0083] The processor calls the executable program code stored in the memory to execute part or all of the steps in any one of the online monitoring methods for open-pit mine operations disclosed in the first aspect of the present invention.

[0084] The fifth aspect of the present invention discloses an intelligent monitoring device for executing part or all of the steps in any one of the online monitoring methods for open-pit mine operations disclosed in the first aspect of the present invention.

[0085] The fifth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in any online monitoring method for open-pit mining operations disclosed in the first aspect of the present invention.

[0086] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0087] In an embodiment of the present invention, when the intelligent monitoring equipment is performing open-pit mining operations, the monitoring data of the intelligent monitoring equipment in the current monitoring area within a preset time period is determined, and the monitoring data of the current monitoring area includes the ore collection data of the current monitoring area; based on the ore collection data of the current monitoring area, it is judged whether the ore collection situation of the current monitoring area meets the ore collection requirements of the current monitoring area determined in advance, and when it is judged that it does not meet the requirements, the crack data of the rock cracks in the mine in the current monitoring area, the rock hardness and the ore exposure situation are obtained, and the crack data of the rock cracks in the mine include the crack directions of the rock cracks in the mine; based on the crack data of the rock cracks in the mine, the rock hardness, the ore exposure situation, and the ore collection data of the current monitoring area, the current working parameters of the intelligent monitoring equipment are adjusted to obtain the adjusted working parameters of the intelligent monitoring equipment, and the current working parameters of the intelligent monitoring equipment include the working parameters of the bucket of the intelligent monitoring equipment; based on the adjusted working parameters of the intelligent monitoring equipment, the intelligent monitoring equipment is controlled to continue collecting ore in the current monitoring area. It can be seen that when the present invention determines that the currently collected ore does not meet the ore collection requirements based on the ore collection data monitored in the current monitoring area, the working parameters of the intelligent monitoring equipment are automatically adjusted according to the rock crack direction, rock hardness, and ore exposure conditions in the current monitoring area. This can improve the accuracy of determining the working parameters of the intelligent monitoring equipment and carry out ore collection. That is, by using the intelligent monitoring equipment in the current monitoring area to carry out intelligent monitoring of the ore collection data and the mine, the collection efficiency and accuracy of the open-pit mine can be improved, and the probability of ore collection risks can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0089] Figure 1 It is a flow chart of an online monitoring method for open-pit mine operation disclosed in an embodiment of the present invention;

[0090] Figure 2 It is a flow chart of another online monitoring method for open-pit mine operation disclosed in an embodiment of the present invention;

[0091] Figure 3 It is a structural schematic diagram of an online monitoring device for open-pit mine operation disclosed in an embodiment of the present invention;

[0092] Figure 4 It is a structural schematic diagram of another online monitoring device for open-pit mine operation disclosed in an embodiment of the present invention;

[0093] Figure 5 It is a structural schematic diagram of another online monitoring device for open-pit mine operation disclosed in an embodiment of the present invention;

[0094] Figure 6 It is a structural schematic diagram of an intelligent monitoring device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0095] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0096] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0097] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0098] The present invention discloses an online monitoring method, device and intelligent monitoring equipment for open-pit mine operation, which can automatically adjust the working parameters of the intelligent monitoring equipment according to the rock crack direction, rock hardness and ore exposure of the current monitoring area when judging that the currently collected ore does not meet the ore collection requirements according to the ore collection data of the current monitoring area monitored, so as to improve the accuracy of determining the working parameters of the intelligent monitoring equipment and perform ore collection, that is, through the intelligent monitoring equipment of the current monitoring area, the ore collection data and the mine are intelligently monitored, which can improve the collection efficiency and accuracy of the open-pit mine, and reduce the probability of ore collection risks. The following is a detailed description.

[0099] Embodiment 1

[0100] See also Figure 1 , Figure 1 1 is a flow chart of an online monitoring method for open-pit mine operation disclosed in an embodiment of the present invention. Figure 1 The described method can be applied to a device with intelligent monitoring function in an open-pit mine operation site, which may include an intelligent monitoring device and a central control server for controlling the intelligent monitoring device, wherein the central control server includes a cloud server or an on-site server. Figure 1 As shown, the online monitoring method for open-pit mine operation may include the following operations:

[0101] 101. When the intelligent monitoring equipment is performing open-pit mining operations, the monitoring data of the intelligent monitoring equipment in the current monitoring area within a preset time period is determined, and the monitoring data of the current monitoring area includes the ore collection data of the current monitoring area.

[0102] In an embodiment of the present invention, optionally, the ore collection data of the current monitoring area includes one or more of the ore collection speed, ore collection shape, and ore collection size of the current monitoring area within a preset time period. The ore collection speed of the current monitoring area is used to indicate the amount of ore collected in the current monitoring area per unit time, and the ore collection size of the current monitoring area is used to indicate the volume of ore collected in the current monitoring area; wherein, the preset time period can be understood as a certain period of time several hours (such as 2 hours) after the start of open-pit mining operations in the middle of the day, and can also be understood as the time corresponding to the previous period when a monitoring request for open-pit mining operations is detected, and can also be understood as the time corresponding to the previous period when the real-time collection time of the open-pit mine reaches the preset collection time.

[0103] 102. Based on the ore collection data of the current monitoring area, determine whether the ore collection situation in the current monitoring area meets the ore collection requirements of the current monitoring area that have been predetermined.

[0104] In an embodiment of the present invention, as an optional implementation mode, judging whether the ore collection situation in the current monitoring area meets the predetermined ore collection requirements in the current monitoring area according to the ore collection data in the current monitoring area includes:

[0105] Determine the ore collection quality of the current monitoring area according to the ore collection size and ore collection shape of the current monitoring area, and judge whether the ore collection quality of the current monitoring area is greater than or equal to the preset ore collection quality;

[0106] When the judgment result is no, it is determined that the ore collection situation in the current monitoring area does not meet the pre-determined ore collection conditions for the current monitoring area; when the judgment result is yes, it is determined whether the ore collection speed of the current monitoring area falls within the pre-collection speed range. When the judgment result is no, it is determined that the ore collection situation in the current monitoring area does not meet the pre-determined ore collection conditions for the current monitoring area; when the judgment result is yes, it is determined that the ore collection situation in the current monitoring area meets the pre-determined ore collection conditions for the current monitoring area.

[0107] It can be seen that the embodiment of the present invention automatically determines the ore collection quality by based on the ore collection size and shape, and when the ore collection quality is less than the preset ore collection quality or even if the ore collection quality is greater than or equal to the preset quality but the collection speed is low, it determines that the ore collection situation in the current monitoring area does not meet the ore collection requirements. This can improve the efficiency of determining whether the ore collection situation in the current monitoring area meets the requirements, which is beneficial to improving the accuracy of executing subsequent operations, and further beneficial to further improving the ore collection efficiency and accuracy.

[0108] 103. When it is judged that the conditions are not met, the crack data of rock cracks, rock hardness and ore exposure in the mines in the current monitoring area are obtained.

[0109] In the embodiment of the present invention, optionally, when it is determined that the conditions are met, the intelligent monitoring device is controlled to collect ore according to preset working parameters of the intelligent monitoring device.

[0110] In an embodiment of the present invention, the crack data of rock cracks in a mine includes the crack direction of the rock cracks in the mine. Optionally, the ore exposure in the mine in the current monitoring area includes but is not limited to one or more of the ore exposure position, ore exposure type, and ore exposure size. In this way, the more content the ore exposure includes, the more conducive it is to improve the adjustment accuracy of the working parameters of the intelligent monitoring device.

[0111] 104. According to the crack data of rock cracks in the mine, rock hardness, ore exposure, and ore collection data in the current monitoring area, the current working parameters of the intelligent monitoring equipment are adjusted to obtain the adjusted working parameters of the intelligent monitoring equipment.

[0112] In an embodiment of the present invention, optionally, the current working parameters of the intelligent monitoring device include working parameters of the bucket of the intelligent monitoring device. The working parameters of the bucket include one or more of the force direction of the bucket teeth, the force magnitude of the bucket teeth, and the frequency of the bucket teeth digging rocks. The frequency of the bucket teeth digging rocks is used to indicate the number of collisions between the bucket teeth and the rocks per unit time. Further optionally, the current working parameters of the intelligent monitoring device also include the mobile working parameters of the intelligent monitoring device. The mobile working parameters of the intelligent monitoring device include the moving speed and / or the moving direction.

[0113] 105. According to the adjusted working parameters of the intelligent monitoring equipment, control the intelligent monitoring equipment to continue collecting ore in the current monitoring area.

[0114] It can be seen that implementation Figure 1 The described online monitoring method for open-pit mine operations can automatically adjust the working parameters of the intelligent monitoring equipment according to the direction of rock cracks, rock hardness, and ore exposure in the current monitoring area when it is judged that the currently collected ore does not meet the ore collection requirements based on the ore collection data of the current monitoring area monitored. This can improve the accuracy of determining the working parameters of the intelligent monitoring equipment and carry out ore collection, that is, through the intelligent monitoring equipment in the current monitoring area, the ore collection data and the mine are intelligently monitored, which can improve the collection efficiency and accuracy of the open-pit mine and reduce the probability of ore collection risks.

[0115] In an optional embodiment, the method may further include the following steps:

[0116] According to the current working parameters of the intelligent monitoring equipment and the crack data of rock cracks in the mine in the current monitoring area, rock hardness and ore exposure, it is estimated that the probability of the mine volume in the current monitoring area being greater than or equal to the preset volume and / or the probability of rock with a hardness greater than or equal to the preset hardness rolling down during the next open-pit mining operation;

[0117] When the probability is greater than or equal to the preset rolling probability threshold, the location, volume and shape of the rock rolling in the mine in the current monitoring area are estimated based on the current working parameters of the intelligent monitoring equipment and the crack data of the rock cracks in the mine in the current monitoring area, the rock hardness and the ore exposure;

[0118] Obtain the current slope data of the current monitoring area, and estimate the rolling trajectory of the mine rock based on the slope data of the current monitoring area and the location of the rock fall in the mine, the volume of the rolled rock, and the shape of the rolled rock;

[0119] According to the estimated rolling trajectory of the mine rock and the position of the target object, it is judged whether the target object has been hit; when the result of the judgment is yes, the working parameters of the intelligent monitoring equipment are adjusted according to the rolling trajectory of the mine rock and the position of the target object.

[0120] In this optional embodiment, the current working parameters of the intelligent monitoring device can be understood as the first working parameters or the second working parameters, wherein the first working parameters are working parameters adjusted based on the crack data of rock cracks in the mine, rock hardness, ore exposure, and ore collection data in the current monitoring area, and the second working parameters are parameters corresponding to the first working parameters after working based on the adjusted parameters. When the current working parameters of the intelligent monitoring device are the first working parameters, they are adjusted based on the crack data of rock cracks in the mine, rock hardness, ore exposure, ore collection data in the current monitoring area, the rolling trajectory of the mine rock, and the position of the target object; when the current working parameters of the intelligent monitoring device are the second working parameters, they are adjusted based on the rolling trajectory of the mine rock and the position of the target object.

[0121] In this optional embodiment, when the probability is less than a preset rolling probability threshold or when it is determined that there is no occurrence of hitting the target object, the ore collection operation can continue to be performed according to the preset working parameters of the intelligent monitoring equipment.

[0122] In this optional embodiment, the target object includes one or more of people, equipment, and other items in the current monitoring area.

[0123] It can be seen that this optional embodiment combines the current working parameters of the intelligent monitoring equipment with the crack data of rock cracks in the mine, the rock hardness and the ore exposure, and jointly estimates the probability of the rolling of the next collected rock with a larger volume and / or hardness, which can improve the estimation accuracy of the probability, and when the probability is large, according to the current working parameters of the intelligent monitoring equipment and the crack data of rock cracks in the mine, the rock hardness and the ore exposure, jointly estimates the volume, shape and falling position of the fallen rock, which can improve the estimation accuracy and reliability of this content, and jointly estimates the rolling trajectory of the rock in combination with the current slope data of the current monitoring area, which can improve the estimation accuracy and reliability of the rolling trajectory of the rock, and thus improve the accuracy of the judgment of whether it will hit people and / or equipment and / or other objects, and when it is judged that it may hit, based on the accurate and reliable rock rolling trajectory and the position of the hit object, adjust the working parameters of the intelligent monitoring equipment, which can improve the accuracy of its working parameter adjustment, thereby reducing the probability of rock rolling and hitting people and / or equipment and / or other objects, and improving the safety of mining.

[0124] In another optional embodiment, the current slope data of the current monitoring area includes the slope length, slope ground data, slope curvature and slope gradient of the current monitoring area; wherein, according to the slope data of the current monitoring area and the location where the rock falls in the mine, the volume of the rolled rock, and the shape of the rolled rock, the rolling trajectory of the mine rock is estimated, including:

[0125] According to all contents contained in the slope data of the current monitoring area, the slope of the current monitoring area is divided into multiple sub-slopes;

[0126] Obtain the terrain data and height of the area between the location where the rock falls in the mine and the plane where the first sub-slope is located, and analyze the rolling data of the mine rock from the location where the rock falls in the mine to the plane where the first sub-slope is located according to the terrain data, height, location where the rock falls in the mine, volume of the fallen rock and shape of the fallen rock corresponding to the first sub-slope. The rolling data corresponding to the first sub-slope includes the rolling trajectory, the magnitude of the force when rolling to the plane of the first sub-slope and the direction of the force;

[0127] Starting from the first sub-slope, according to the slope data, force magnitude and force direction of the previous sub-slope, the rolling data of the mine rock when it rolls from the previous sub-slope to the next sub-slope is analyzed until the rolling data corresponding to the last sub-slope is obtained;

[0128] According to the slope data of the last sub-slope, the force direction and magnitude, the terrain data of the area between the last sub-slope and the target object, the volume of the fallen rock and the shape of the fallen rock, the rolling data of the mining rock from the plane where the last sub-slope is located to the plane where the target object is located is analyzed, and starting from the rolling trajectory corresponding to the first sub-slope, the rolling trajectories corresponding to all the sub-slopes are connected in sequence, and the rolling trajectories corresponding to all the connected sub-slopes are connected with the rolling trajectory corresponding to the target object as the rolling trajectory of the mining rock.

[0129] In this optional embodiment, optionally, the slope ground data of the current monitoring area includes one or more of the slope ground flatness, softness, slope width and slope length.

[0130] For example, the location where the rock falls is A, and there are three sub-slopes B, C, and D. E is the plane where the target object is located. The rolling trajectory between A and B is a1, the rolling trajectory between B and C is a2, the rolling trajectory between C and D is a3, and the rolling trajectory between D and E is a4. The rolling trajectory of the rock is: a1→a2→a3→a4.

[0131] It can be seen that this optional embodiment divides the slope according to the slope length, ground data, curvature and slope of the current area, which can improve the accuracy and reliability of slope division, and based on the terrain data, height, volume and shape of the estimated rock falling position and the first sub-slope, jointly analyzes the rolling trajectory, force direction and magnitude of the rock rolling to the first sub-slope plane, which can improve the accuracy of the analysis of this internal movement, and based on the rolling trajectory, force magnitude and direction of the rock rolling from the previous sub-slope data to the next sub-slope, the rolling trajectory of the rock from the last sub-slope to the plane where the smashed object is located is analyzed, and the rolling trajectory of the rock is analyzed in stages, which can improve the accuracy and efficiency of the analysis of the rock's rolling trajectory.

[0132] Embodiment 2

[0133] See also Figure 2 , Figure 2 1 is a flow chart of another online monitoring method for open-pit mine operation disclosed in an embodiment of the present invention. Figure 2 The described method can be applied to a device with intelligent monitoring function in an open-pit mine operation site, which may include an intelligent monitoring device and a central control server for controlling the intelligent monitoring device, wherein the central control server includes a cloud server or an on-site server.

[0134] like Figure 2 As shown, the online monitoring method for open-pit mine operation may include the following operations:

[0135] 201. When the intelligent monitoring equipment is performing open-pit mining operations, the monitoring data of the intelligent monitoring equipment in the current monitoring area within a preset time period is determined, and the monitoring data of the current monitoring area includes the ore collection data of the current monitoring area.

[0136] 202. According to the ore collection data of the current monitoring area, determine whether the ore collection situation of the current monitoring area meets the ore collection requirements of the current monitoring area determined in advance.

[0137] 203. When it is judged that the conditions are not met, the crack data of rock cracks in the mines in the current monitoring area, rock hardness and ore exposure are obtained. The crack data of rock cracks in the mines include the crack direction, crack length and crack width of rock cracks in the mines.

[0138] 204. Determine the crack curvature of the rock cracks in the mine based on the crack direction and crack length of the rock cracks in the mine.

[0139] 205. Analyze the crack curvature, crack width, rock hardness and ore exposure of rock cracks in the mine, and obtain intelligent monitoring equipment for multiple bucket operation points in the mine.

[0140] 206. Collect rock data of all bucket operation points, where the rock data of each bucket operation point includes rock hardness and ore distribution of the bucket operation point.

[0141] In the embodiment of the present invention, optionally, the ore distribution situation of each bucket operation point includes the ore exposure situation of the bucket operation point, and further, may also include the ore distribution situation inside the rock of the bucket operation point.

[0142] 207. According to the rock hardness, ore distribution and crack direction and crack width between every two adjacent bucket operation points of all bucket operation points, all bucket operation points of the mine are corrected to obtain multiple target bucket operation points of the mine, and rock data of each target bucket operation point is collected.

[0143] 208. According to the rock data of each target bucket operation point and the ore collection data of the current monitoring area, the current working parameters of the intelligent monitoring equipment are adjusted to obtain the adjusted working parameters of the intelligent monitoring equipment.

[0144] 209. According to the adjusted working parameters of the intelligent monitoring equipment, control the intelligent monitoring equipment to continue collecting ore in the current monitoring area.

[0145] It should be noted that, for other descriptions of step 201 to step 203, step 208, and step 209, please refer to the detailed description of other related contents of step 101 to step 105 in embodiment 1, which will not be repeated in this embodiment of the present invention.

[0146] It can be seen that implementation Figure 2The described online monitoring method for open-pit mine operations can improve the accuracy of determining the working parameters of the intelligent monitoring equipment and perform ore collection by automatically adjusting the working parameters of the intelligent monitoring equipment according to the rock crack direction, rock hardness, and ore exposure conditions in the current monitoring area when it is judged based on the ore collection data of the current monitoring area that the currently collected ore does not meet the ore collection requirements. That is, by using the intelligent monitoring equipment in the current monitoring area to perform intelligent monitoring of the ore collection data and the mine, the collection efficiency and accuracy of the open-pit mine can be improved, and the probability of ore collection risks can be reduced. In addition, by combining the crack direction and crack length of the rock cracks to jointly determine the crack curvature of the rock cracks, and then combining the rock hardness, crack width and ore exposure to jointly analyze the bucket operation points of the mine, the primary analysis accuracy of the bucket operation points can be improved, and the bucket operation points obtained by the primary analysis are corrected in combination with the rock hardness, ore distribution and crack direction and crack width between two adjacent bucket operation points of each bucket operation point, which can improve the accuracy of the determination of the bucket operation points, and adjust the working parameters of the intelligent monitoring equipment in combination with the corrected rock data of the bucket operation and the ore collection data, which can further improve the accuracy of the working adjustment of the intelligent monitoring equipment, which is conducive to the intelligent monitoring equipment to work at a precise bucket operation point, thereby improving the accuracy and efficiency of the collection to meet the ore quality requirements, and then reverse monitoring of the ore collection at the open-pit mine operation site is carried out according to the collected ore quality.

[0147] In an optional embodiment, the crack curvature of the rock cracks in the mine includes the curvature of all crack elbows of the rock cracks in the mine, and the ore exposure of the rock cracks in the mine includes the ore exposure distribution; wherein the crack elbow of the rock crack is used to indicate a crack in which the crack direction of a certain section of the rock crack changes by a value greater than or equal to a preset change. In addition, the crack curvature, crack width, rock hardness and ore exposure of the rock cracks in the mine are analyzed to obtain multiple bucket operation points of the mine for the intelligent monitoring equipment, including:

[0148] According to the number of all crack elbows, the ore exposure of rock cracks in the mine, the position of each crack elbow and the curvature of each crack elbow, multiple target crack elbows with crack curvatures less than or equal to the preset crack curvature are selected from all the elbows;

[0149] According to the curvature of all target crack elbows, the crack width between two adjacent target crack elbows, the rock hardness and the ore exposure, the intelligent monitoring equipment determines multiple bucket operation points for the mine.

[0150] In this optional embodiment, it should be noted that the greater the number of all crack elbows, and / or the ore exposure conditions in the rock fractures in the mine are used to indicate that the ore exposure type includes a predetermined ore type and / or the denser the ore distribution, and / or the greater the curvature of each crack elbow (i.e., the more curved it is), the greater the number of target crack elbows that are screened out.

[0151] It can be seen that this optional embodiment can improve the screening accuracy of the required crack elbows according to the number, position, curvature and ore exposure of all crack elbows in the rock cracks, and then preliminarily determine the bucket operating point of the mine in combination with the crack width, rock hardness, curvature and ore exposure between the two adjacent crack elbows screened out, which can further improve the accuracy of the preliminary analysis of the mine bucket operating point, thereby further improving the accuracy of determining the final required bucket operating point, and further improving the accuracy and efficiency of ore collection.

[0152] In another optional embodiment, the method may further include the following steps:

[0153] According to the position of each crack elbow, all crack elbows are divided to obtain a plurality of elbow division areas, and according to the positions of all crack elbows in each elbow division area, the crack elbow density of the elbow division area is analyzed;

[0154] Among them, according to the number of all crack elbows, the ore exposure of rock cracks in the mine, the position of each crack elbow and the curvature of each crack elbow, multiple target crack elbows with crack curvatures less than or equal to the preset crack curvature are selected from all the elbows, including:

[0155] According to the number of all crack elbows, the ore exposure of rock cracks in the mine, the position of each crack elbow, the curvature of each crack elbow and the density of crack elbows in the areas divided by all elbows, multiple target crack elbows with crack curvatures less than or equal to the preset crack curvature are screened from all elbows.

[0156] It can be seen that this optional embodiment divides the elbows into zones according to the locations of the crack elbows, and analyzes the crack elbow density of each elbow division zone, and further combines it with the crack width, rock hardness, curvature and ore exposure between two adjacent crack elbows to preliminarily determine the bucket operating point of the mine, which can further improve the accuracy of the preliminary analysis of the bucket operating point of the mine.

[0157] Embodiment 3

[0158] See also Figure 3 , Figure 3 Schematic diagram of the structure of an online monitoring device for open-pit mine operation disclosed in an embodiment of the present invention. Figure 3The described apparatus may include an intelligent monitoring device and a central control server for controlling the intelligent monitoring device, wherein the central control server includes a cloud server or an on-site server, and Figure 3 As shown, the device comprises:

[0159] The determination module 301 is used to determine the monitoring data of the intelligent monitoring device in the current monitoring area within a preset time period when the intelligent monitoring device is performing open-pit mining operations. The monitoring data of the current monitoring area includes the ore collection data of the current monitoring area.

[0160] The judgment module 302 is used to judge whether the ore collection situation in the current monitoring area meets the predetermined ore collection requirements of the current monitoring area according to the ore collection data in the current monitoring area.

[0161] The acquisition module 303 is used to acquire the crack data of rock cracks in the mine in the current monitoring area, rock hardness and ore exposure when it is judged that it is not satisfied. The crack data of rock cracks in the mine includes the crack direction of rock cracks in the mine.

[0162] The adjustment module 304 is used to adjust the current working parameters of the intelligent monitoring equipment according to the crack data of rock cracks in the mine, rock hardness, ore exposure, and ore collection data in the current monitoring area, so as to obtain the adjusted working parameters of the intelligent monitoring equipment. The current working parameters of the intelligent monitoring equipment include the working parameters of the bucket of the intelligent monitoring equipment.

[0163] The control module 305 is used to control the intelligent monitoring device to continue collecting ore in the current monitoring area according to the adjusted working parameters of the intelligent monitoring device.

[0164] In an embodiment of the present invention, the ore collection data of the current monitoring area includes one or more of the ore collection speed, ore collection shape, and ore collection size of the current monitoring area within the preset time period. The ore collection speed of the current monitoring area is used to indicate the amount of ore collected in the current monitoring area per unit time, and the ore collection size of the current monitoring area is used to indicate the volume of ore collected in the current monitoring area.

[0165] In the embodiment of the present invention, the judgment module 302 judges whether the ore collection situation in the current monitoring area meets the predetermined ore collection requirements of the current monitoring area according to the ore collection data of the current monitoring area. Specifically, the method includes:

[0166] Determine the ore collection quality of the current monitoring area according to the ore collection size and ore collection shape of the current monitoring area, and judge whether the ore collection quality of the current monitoring area is greater than or equal to the preset ore collection quality;

[0167] When the judgment result is no, it is determined that the ore collection situation in the current monitoring area does not meet the pre-determined ore collection conditions for the current monitoring area; when the judgment result is yes, it is determined whether the ore collection speed of the current monitoring area falls within the pre-collection speed range. When the judgment result is no, it is determined that the ore collection situation in the current monitoring area does not meet the pre-determined ore collection conditions for the current monitoring area; when the judgment result is yes, it is determined that the ore collection situation in the current monitoring area meets the pre-determined ore collection conditions for the current monitoring area.

[0168] It can be seen that implementation Figure 3 The described online monitoring device for open-pit mine operation, when judging that the currently collected ore does not meet the ore collection requirements based on the ore collection data monitored in the current monitoring area, automatically adjusts the working parameters of the intelligent monitoring device according to the rock crack direction, rock hardness, and ore exposure situation in the current monitoring area, which can improve the accuracy of determining the working parameters of the intelligent monitoring device, and carry out ore collection, that is, the intelligent monitoring device in the current monitoring area intelligently monitors the ore collection data and the mine, which can improve the collection efficiency and accuracy of the open-pit mine, and reduce the probability of ore collection risk. And by automatically determining the ore collection quality based on the size and shape of the ore collection, and determining that the ore collection situation in the current monitoring area does not meet the ore collection requirements when the ore collection quality is less than the preset ore collection quality or even if the ore collection quality is greater than or equal to the preset quality but the collection speed is low, it can improve the efficiency of determining whether the ore collection situation in the current monitoring area meets the requirements, thereby facilitating the accuracy of executing subsequent operations, and further facilitating the further improvement of ore collection efficiency and accuracy.

[0169] In an optional embodiment, the crack data of the rock cracks in the mine further includes the crack length and crack width of the rock cracks in the mine;

[0170] The determination module 301 is also used to determine the crack curvature of the rock cracks in the mine according to the crack direction of the rock cracks in the mine and the crack length of the rock cracks in the mine.

[0171] like Figure 4 As shown, the device may also include:

[0172] The analysis module 306 is used to analyze the crack curvature, crack width, rock hardness and ore exposure of rock cracks in the mine, and obtain multiple bucket operation points of the intelligent monitoring equipment for the mine.

[0173] The collection module 307 is used to collect rock data of all bucket operation points. The rock data of each bucket operation point includes the rock hardness and ore distribution of the bucket operation point.

[0174] The correction module 308 is used to correct all the bucket operation points of the mine according to the rock hardness, ore distribution and crack direction and crack width between every two adjacent bucket operation points to obtain multiple target bucket operation points of the mine.

[0175] The acquisition module 307 is also used to acquire rock data of each target bucket operation point.

[0176] The adjustment module 304 adjusts the current working parameters of the intelligent monitoring equipment according to the crack data of the rock cracks in the mine, the rock hardness, the ore exposure, and the ore collection data of the current monitoring area. The method of obtaining the adjusted working parameters of the intelligent monitoring equipment is as follows:

[0177] According to the rock data of each target bucket operation point and the ore collection data of the current monitoring area, the current working parameters of the intelligent monitoring equipment are adjusted to obtain the adjusted working parameters of the intelligent monitoring equipment.

[0178] It can be seen that implementation Figure 4 The described online monitoring device for open-pit mine operations determines the crack curvature of rock cracks by combining the crack direction and crack length of rock cracks, and then analyzes the bucket operation points of the mine in combination with rock hardness, crack width and ore exposure, thereby improving the accuracy of the primary analysis of the bucket operation points, and correcting the bucket operation points obtained by the primary analysis in combination with the rock hardness, ore distribution and crack direction and crack width between two adjacent bucket operation points of each bucket operation point, thereby improving the accuracy of the determination of the bucket operation points, and adjusting the working parameters of the intelligent monitoring equipment in combination with the corrected rock data of the bucket operation and the ore collection data, thereby further improving the accuracy of the working adjustment of the intelligent monitoring equipment, which is conducive to the intelligent monitoring equipment working at a precise bucket operation point, thereby improving the accuracy and efficiency of the collection to meet the ore quality requirements, and then reversely monitoring the ore collection at the open-pit mine operation site according to the collected ore quality.

[0179] In yet another optional embodiment, the fracture curvature of the rock fractures in the mine includes the curvature of all fracture elbows of the rock fractures in the mine, and the ore exposure conditions of the rock fractures in the mine include the ore exposure distribution conditions;

[0180] Furthermore, the analysis module 306 analyzes the crack curvature, crack width, rock hardness and ore exposure of the rock cracks in the mine, and obtains the method of the intelligent monitoring equipment for multiple bucket operation points of the mine, which specifically includes:

[0181] According to the number of all crack elbows, the ore exposure of rock cracks in the mine, the position of each crack elbow and the curvature of each crack elbow, multiple target crack elbows with crack curvatures less than or equal to the preset crack curvature are selected from all the elbows;

[0182] According to the curvature of all target crack elbows, the crack width between two adjacent target crack elbows, the rock hardness and the ore exposure, the intelligent monitoring equipment determines multiple bucket operation points for the mine.

[0183] It can be seen that implementation Figure 4 The described online monitoring device for open-pit mining operations can improve the accuracy of screening required crack elbows based on the number, position, curvature and ore exposure of all crack elbows in rock cracks, and then preliminarily determine the bucket operating point of the mine based on the crack width, rock hardness, curvature and ore exposure between the two adjacent crack elbows screened out, which can further improve the accuracy of the preliminary analysis of the bucket operating point of the mine, thereby further improving the accuracy of determining the final required bucket operating point, and further improving the accuracy and efficiency of ore collection.

[0184] In yet another optional embodiment, Figure 4 As shown, the device also includes:

[0185] The division module 309 is used to divide all the crack elbows according to the position of each crack elbow to obtain a plurality of elbow division areas.

[0186] The analysis module 306 is further used to analyze the crack elbow density of each elbow division area according to the positions of all crack elbows in the elbow division area;

[0187] The analysis module 306 selects a plurality of target crack elbows having a crack curvature less than or equal to a preset crack curvature from all the elbows according to the number of all crack elbows, the exposure of the ore in the rock cracks in the mine, the position of each crack elbow and the curvature of each crack elbow. Specifically, the method includes:

[0188] According to the number of all crack elbows, the ore exposure of rock cracks in the mine, the position of each crack elbow, the curvature of each crack elbow and the density of crack elbows in the areas divided by all elbows, multiple target crack elbows with crack curvatures less than or equal to the preset crack curvature are screened from all elbows.

[0189] It can be seen that implementation Figure 4The described online monitoring device for open-pit mine operations can also divide the elbows into zones according to their locations, and analyze the density of crack elbows in each elbow zone, and further combine it with the crack width, rock hardness, curvature and ore exposure between two adjacent crack elbows to preliminarily determine the bucket operation point of the mine, which can further improve the accuracy of the preliminary analysis of the bucket operation point of the mine.

[0190] In yet another optional embodiment, Figure 4 As shown, the device also includes:

[0191] The estimation module 310 is used to estimate the probability of the mine volume in the current monitoring area being greater than or equal to the preset volume and / or the rock with a hardness greater than or equal to the preset hardness rolling down in the next open-pit mining operation according to the current working parameters of the intelligent monitoring equipment and the crack data of the rock cracks in the mine in the current monitoring area, the rock hardness and the ore exposure;

[0192] The estimation module 310 is further used to estimate the location, volume and shape of rock rolling in the mine in the current monitoring area according to the current working parameters of the intelligent monitoring equipment and the crack data of rock cracks in the mine in the current monitoring area, rock hardness and ore exposure when the probability is greater than or equal to a preset rolling probability threshold;

[0193] The acquisition module 303 is also used to acquire the current slope data of the current monitoring area, and estimate the rolling trajectory of the mine rock according to the slope data of the current monitoring area and the location where the rock falls in the mine, the volume of the rolled rock, and the shape of the rolled rock;

[0194] The judgment module 302 is further used to judge whether the target object is hit according to the estimated rolling trajectory of the mining rock and the position of the target object;

[0195] The adjustment module 304 is also used to adjust the working parameters of the intelligent monitoring equipment according to the rolling trajectory of the mine rock and the position of the target object when the judgment result is yes.

[0196] It can be seen that implementation Figure 4The described online monitoring device for open-pit mine operations can also combine the current working parameters of the intelligent monitoring equipment with the crack data of rock cracks in the mine, the rock hardness and the exposure of the ore, and jointly estimate the probability of the rolling of the next collected rock with a larger volume and / or hardness, which can improve the estimation accuracy of the probability, and when the probability is large, jointly estimate the volume, shape and falling position of the fallen rock according to the current working parameters of the intelligent monitoring equipment and the crack data of rock cracks in the mine, the rock hardness and the exposure of the ore, which can improve the estimation accuracy and reliability of this content, and jointly estimate the rolling trajectory of the rock in combination with the current slope data of the current monitoring area, which can improve the estimation accuracy and reliability of the rolling trajectory of the rock, and thus improve the accuracy of the judgment of whether it will hit people and / or equipment and / or other objects, and when it is judged that it may hit, adjust the working parameters of the intelligent monitoring equipment based on the accurate and reliable rock rolling trajectory and the position of the hit object, which can improve the accuracy of its working parameter adjustment, thereby reducing the probability of rock rolling and hitting people and / or equipment and / or other objects, and improving the safety of mining.

[0197] In yet another optional embodiment, the current slope data of the current monitoring area includes the slope length, slope ground data, slope curvature and slope gradient of the current monitoring area;

[0198] The estimating module 310 estimates the rolling trajectory of the mine rock according to the slope data of the current monitoring area and the location of the rock fall in the mine, the volume of the rolled rock, and the shape of the rolled rock. Specifically, the method includes:

[0199] According to all contents contained in the slope data of the current monitoring area, the slope of the current monitoring area is divided into multiple sub-slopes;

[0200] Obtain the terrain data and height of the area between the location where the rock falls in the mine and the plane where the first sub-slope is located, and analyze the rolling data of the mine rock from the location where the rock falls in the mine to the plane where the first sub-slope is located according to the terrain data, height, location where the rock falls in the mine, volume of the fallen rock and shape of the fallen rock corresponding to the first sub-slope. The rolling data corresponding to the first sub-slope includes the rolling trajectory, the magnitude of the force when rolling to the plane of the first sub-slope and the direction of the force;

[0201] Starting from the first sub-slope, according to the slope data, force magnitude and force direction of the previous sub-slope, the rolling data of the mine rock when it rolls from the previous sub-slope to the next sub-slope is analyzed until the rolling data corresponding to the last sub-slope is obtained;

[0202] According to the slope data of the last sub-slope, the force direction and magnitude, the terrain data of the area between the last sub-slope and the target object, the volume of the fallen rock and the shape of the fallen rock, the rolling data of the mining rock from the plane where the last sub-slope is located to the plane where the target object is located is analyzed, and starting from the rolling trajectory corresponding to the first sub-slope, the rolling trajectories corresponding to all the sub-slopes are connected in sequence, and the rolling trajectories corresponding to all the connected sub-slopes are connected with the rolling trajectory corresponding to the target object as the rolling trajectory of the mining rock.

[0203] It can be seen that implementation Figure 4 The described online monitoring device for open-pit mining operations can also divide the slope according to the slope length, ground data, curvature and slope of the current area, which can improve the accuracy and reliability of slope division, and based on the terrain data, height, volume and shape of the estimated rock falling position and the first sub-slope, jointly analyze the rolling trajectory, force direction and magnitude of the rock rolling to the first sub-slope plane, which can improve the accuracy of the analysis of this internal movement, and based on the rolling trajectory, force magnitude and direction of the rock rolling from the previous sub-slope data to the next sub-slope, analyze the rolling trajectory of the rock from the last sub-slope to the plane where the smashed object is located, and analyze the rolling trajectory of the rock in stages, which can improve the accuracy and efficiency of the analysis of the rolling trajectory of the rock.

[0204] Embodiment 5

[0205] See also Figure 5 , Figure 5 Schematic diagram of the structure of another online monitoring device for open-pit mine operation disclosed in an embodiment of the present invention. Figure 5 The described apparatus may include an intelligent monitoring device and a central control server for controlling the intelligent monitoring device, wherein the central control server includes a cloud server or an on-site server. Figure 5 As shown, the device may include:

[0206] A memory 401 storing executable program codes;

[0207] a processor 402 coupled to the memory 401;

[0208] Furthermore, it may also include an input interface 403 and an output interface 404 coupled to the processor 402;

[0209] The processor 402 calls the executable program code stored in the memory 401 to execute part or all of the steps of the online monitoring method for open-pit mine operations disclosed in the first or second embodiment of the present invention.

[0210] Embodiment 6

[0211] See also Figure 6 , Figure 6 It is a structural schematic diagram of an intelligent monitoring device disclosed in an embodiment of the present invention, wherein the intelligent monitoring device includes an online monitoring device for open-pit mine operations such as any one of the third embodiment, and is used to execute part or all of the steps of an online monitoring method for open-pit mine operations disclosed in the first or second embodiment of the present invention.

[0212] Embodiment 7

[0213] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all steps in an online monitoring method for open-pit mine operations disclosed in Embodiment 1 or Embodiment 2 of the present invention.

[0214] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0215] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0216] Finally, it should be noted that the online monitoring method, device and intelligent monitoring equipment for open-pit mine operations disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An online monitoring method for open-pit mine operation, characterized in that: The method comprises: When the intelligent monitoring device is performing open-pit mining operations, determining monitoring data of the intelligent monitoring device in a current monitoring area within a preset time period, wherein the monitoring data of the current monitoring area includes ore collection data of the current monitoring area; According to the ore collection data of the current monitoring area, it is judged whether the ore collection situation of the current monitoring area meets the predetermined ore collection requirements of the current monitoring area, and when it is judged that it does not meet the requirements, the crack data, rock hardness and ore exposure of the rock cracks in the mine in the current monitoring area are obtained, and the crack data of the rock cracks in the mine include the crack direction of the rock cracks in the mine; According to the crack data of the rock cracks in the mine, the rock hardness, the ore exposure, and the ore collection data of the current monitoring area, the current working parameters of the intelligent monitoring device are adjusted to obtain the adjusted working parameters of the intelligent monitoring device, wherein the current working parameters of the intelligent monitoring device include the working parameters of the bucket of the intelligent monitoring device; According to the adjusted working parameters of the intelligent monitoring device, controlling the intelligent monitoring device to continue collecting ore in the current monitoring area; The crack data of the rock cracks in the mine also includes the crack length and crack width of the rock cracks in the mine; The method further comprises: According to the crack direction of the rock cracks in the mine and the crack length of the rock cracks in the mine, the crack curvature of the rock cracks in the mine is determined, and the crack curvature, crack width, rock hardness and ore exposure of the rock cracks in the mine are analyzed to obtain multiple bucket operation points of the intelligent monitoring equipment for the mine, wherein the crack curvature of the rock cracks in the mine includes the curvature of all crack elbows of the rock cracks in the mine, and the ore exposure of the rock cracks in the mine includes the distribution of ore exposure; Collect rock data of all the bucket operation points, wherein the rock data of each bucket operation point includes the rock hardness and ore distribution of the bucket operation point; According to the rock hardness, ore distribution and the crack direction and crack width between every two adjacent bucket operation points of all the bucket operation points, all the bucket operation points of the mine are corrected to obtain multiple target bucket operation points of the mine, and rock data of each target bucket operation point is collected.

2. The online monitoring method for open-pit mine operation according to claim 1, characterized in that: The method of adjusting the current working parameters of the intelligent monitoring device according to the crack data of the rock cracks in the mine, the rock hardness, the ore exposure, and the ore collection data of the current monitoring area to obtain the adjusted working parameters of the intelligent monitoring device includes: According to the rock data of each target bucket operation point and the ore collection data of the current monitoring area, the current working parameters of the intelligent monitoring equipment are adjusted to obtain the adjusted working parameters of the intelligent monitoring equipment.

3. The online monitoring method for open-pit mine operation according to claim 2, characterized in that: The analysis of the crack curvature, crack width, rock hardness and ore exposure of the rock cracks in the mine to obtain multiple bucket operation points of the mine for the intelligent monitoring equipment includes: According to the number of all the crack elbows, the exposure of ore in the rock cracks in the mine, the position of each crack elbow and the curvature of each crack elbow, a plurality of target crack elbows with a crack curvature less than or equal to a preset crack curvature are selected from all the elbows; According to the curvature of all the target crack elbows, the crack width between two adjacent target crack elbows, the rock hardness and the ore exposure, the intelligent monitoring equipment determines multiple bucket operation points for the mine.

4. The online monitoring method for open-pit mine operation according to claim 3, characterized in that: The method further comprises: According to the position of each of the crack elbows, all the crack elbows are divided to obtain a plurality of elbow division areas, and according to the positions of all the crack elbows in each elbow division area, the crack elbow density of the elbow division area is analyzed; Wherein, according to the number of all the crack elbows, the exposure of the ore in the rock cracks in the mine, the position of each of the crack elbows and the curvature of each of the crack elbows, a plurality of target crack elbows with a crack curvature less than or equal to a preset crack curvature are screened from all the elbows, including: According to the number of all the crack elbows, the ore exposure of the rock cracks in the mine, the position of each of the crack elbows, the curvature of each of the crack elbows and the density of crack elbows in the areas divided by all the elbows, a plurality of target crack elbows with crack curvatures less than or equal to a preset crack curvature are screened from all the elbows.

5. The online monitoring method for open-pit mine operation according to any one of claims 1 to 4, characterized in that: The method further comprises: According to the current working parameters of the intelligent monitoring equipment and the crack data of rock cracks in the mine in the current monitoring area, rock hardness and ore exposure, it is estimated that the probability of the mine volume in the current monitoring area being greater than or equal to the preset volume and / or the probability of rock with a hardness greater than or equal to the preset hardness rolling down in the next open-pit mining operation; When the probability is greater than or equal to the preset rolling probability threshold, the location of rock rolling in the mine in the current monitoring area, the volume of the rolled rock, and the shape of the rolled rock are estimated based on the current working parameters of the intelligent monitoring equipment and the crack data of rock cracks in the mine in the current monitoring area, rock hardness, and ore exposure; Acquire current slope data of the current monitoring area, and estimate the rolling trajectory of the mine rock according to the slope data of the current monitoring area and the location where the rock falls in the mine, the volume of the rolled rock, and the shape of the rolled rock; According to the estimated rolling trajectory of the mine rock and the position of the target object, it is judged whether the target object has been hit; when the result of the judgment is yes, the working parameters of the intelligent monitoring equipment are adjusted according to the rolling trajectory of the mine rock and the position of the target object.

6. The online monitoring method for open-pit mine operation according to claim 5, characterized in that: The current slope data of the current monitoring area includes the slope length, slope ground data, slope curvature and slope gradient of the current monitoring area; The method of estimating the rolling trajectory of the rock in the mine according to the slope data of the current monitoring area and the location where the rock falls in the mine, the volume of the rolled rock, and the shape of the rolled rock includes: Dividing the slope of the current monitoring area into a plurality of sub-slopes according to all contents contained in the slope data of the current monitoring area; Obtaining the terrain data and height of the area between the location where the rock fell in the mine and the plane where the first sub-slope is located, and analyzing the rolling data of the mine rock from the location where the rock fell in the mine to the plane where the first sub-slope is located according to the terrain data, height, location where the rock fell in the mine, volume of the fallen rock and shape of the fallen rock corresponding to the first sub-slope, the rolling data corresponding to the first sub-slope including the rolling trajectory, the magnitude of the force when rolling to the plane where the first sub-slope is located and the direction of the force; Starting from the first sub-slope, according to the slope data, force magnitude and force direction of the previous sub-slope, analyzing the rolling data of the mine rock when it rolls from the previous sub-slope to the next sub-slope, until the rolling data corresponding to the last sub-slope is obtained; According to the slope data of the last sub-slope, the force direction, the force magnitude, the terrain data of the area between the last sub-slope and the position of the target object, the volume of the fallen rock and the shape of the fallen rock, the rolling data of the mine rock from the plane where the last sub-slope is located to the plane where the target object is located is analyzed, and starting from the rolling trajectory corresponding to the first sub-slope, the rolling trajectories corresponding to all the sub-slopes are connected in sequence, and the rolling trajectories corresponding to all the connected sub-slopes are connected with the rolling trajectory corresponding to the target object as the rolling trajectory of the mine rock.

7. The online monitoring method for open-pit mine operation according to claim 1, 2, 3, 4 or 6, characterized in that: The ore collection data of the current monitoring area includes one or more of the ore collection speed, ore collection shape, and ore collection size of the current monitoring area within the preset time period, wherein the ore collection speed of the current monitoring area is used to indicate the amount of ore collected in the current monitoring area per unit time, and the ore collection size of the current monitoring area is used to indicate the volume of ore collected in the current monitoring area; The determining, based on the ore collection data of the current monitoring area, whether the ore collection situation of the current monitoring area meets the predetermined ore collection requirements of the current monitoring area includes: Determine the ore collection quality of the current monitoring area according to the ore collection size and ore collection shape of the current monitoring area, and judge whether the ore collection quality of the current monitoring area is greater than or equal to the preset ore collection quality; When the judgment result is no, it is determined that the ore collection situation in the current monitoring area does not meet the ore collection conditions pre-determined for the current monitoring area; when the judgment result is yes, it is determined whether the ore collection speed of the current monitoring area falls within the pre-collection speed range; when the judgment result is no, it is determined that the ore collection situation in the current monitoring area does not meet the pre-determined ore collection conditions for the current monitoring area.

8. An online monitoring device for open-pit mine operation, characterized in that: The device comprises: A determination module, used to determine the monitoring data of the intelligent monitoring device in the current monitoring area within a preset time period when the intelligent monitoring device is performing open-pit mining operations, wherein the monitoring data of the current monitoring area includes the ore collection data of the current monitoring area; A judgment module, used to judge whether the ore collection situation of the current monitoring area meets the predetermined ore collection requirements of the current monitoring area according to the ore collection data of the current monitoring area; An acquisition module, for acquiring crack data, rock hardness and ore exposure of rock cracks in the mine in the current monitoring area when it is determined that the conditions are not met, wherein the crack data of rock cracks in the mine includes the crack direction of rock cracks in the mine; An adjustment module, used to adjust the current working parameters of the intelligent monitoring device according to the crack data of the rock cracks in the mine, the rock hardness, the ore exposure, and the ore collection data of the current monitoring area, so as to obtain the adjusted working parameters of the intelligent monitoring device, wherein the current working parameters of the intelligent monitoring device include the working parameters of the bucket of the intelligent monitoring device; A control module, used for controlling the intelligent monitoring device to continue collecting ore in the current monitoring area according to the adjusted working parameters of the intelligent monitoring device; The crack data of the rock cracks in the mine also includes the crack length and crack width of the rock cracks in the mine; The device also includes: The determination module is further used to determine the crack curvature of the rock cracks in the mine according to the crack direction of the rock cracks in the mine and the crack length of the rock cracks in the mine; An analysis module, used to analyze the crack curvature, crack width, rock hardness and ore exposure of rock cracks in the mine, and obtain multiple bucket operation points of the intelligent monitoring device for the mine; A collection module, used to collect rock data of all the bucket operation points, wherein the rock data of each bucket operation point includes the rock hardness and ore distribution of the bucket operation point; A correction module, used to correct all the bucket operation points of the mine according to the rock hardness, ore distribution and crack direction and crack width between every two adjacent bucket operation points of all the bucket operation points, so as to obtain multiple target bucket operation points of the mine; The acquisition module is also used to collect rock data of each target bucket operation point; The fracture curvature of the rock fractures in the mine includes the curvature of all fracture elbows of the rock fractures in the mine, and the ore exposure conditions of the rock fractures in the mine include the ore exposure distribution conditions.

9. An online monitoring device for open-pit mine operation, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the online monitoring method for open-pit mine operations as described in any one of claims 1-7.

10. An intelligent monitoring device, characterized in that: The intelligent monitoring device is used to execute the online monitoring method for open-pit mine operations as described in any one of claims 1-7.

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